Machine Learning Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
54 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 53% of similar roles. Most pay $184,050–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer

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Apple’s Health Sensing team is looking for a Machine Learning Engineer to join their dynamic and innovative group at the senior level. This role involves developing cutting-edge health algorithms that integrate classical machine learning, signal processing, and generative AI techniques to deliver valuable insights through Apple Watch features like heart rate notifications and ECG analysis. The ideal candidate will work on the entire algorithm lifecycle, from data strategy and modeling to deployment, collaborating closely with cross-functional teams including hardware and software experts. Key responsibilities include prototyping algorithms using real and synthetic data, optimizing for efficiency and robustness, and conducting experiments to validate performance. Strong skills in Python, machine learning, and signal processing are essential, along with experience handling multi-modal sensor fusion challenges and working with incomplete datasets.

Skills

Python Machine Learning Generative AI Agentic AI Signal Processing Statistical Validation Distributed ML Cloud-based ML Simulation Synthetic Data Data Augmentation On-device ML Resource-constrained Optimization

What you'll do

  • Develop and validate machine learning algorithms for health applications throughout the product lifecycle.
  • Prototype and evaluate multiple algorithmic approaches using real and synthetic data.
  • Design experiments to quantify performance and guide iterative improvements in algorithms.
  • Optimize algorithms for efficiency, robustness, and deployment on devices with constraints.
  • Collaborate cross-functionally to integrate developed algorithms into final products.

What we're looking for

  • Bachelor’s degree in a relevant technical field or equivalent industry experience.
  • Strong foundation in machine learning, statistics, signal processing, and applied mathematics.
  • Experience applying modern AI techniques like generative and agentic AI.
  • Proficiency in Python for algorithm development and optimization.
  • Ability to rapidly prototype, evaluate multiple approaches, and iterate based on results.
  • Ownership of algorithm development from early exploration through validation and integration.

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